Nameexact_genome_1542692703_175_6394_2
Workunit4100868
Created20 Nov 2018, 11:24:12 UTC
Sent20 Nov 2018, 11:41:59 UTC
Report deadline15 Jan 2019, 20:59:31 UTC
Received27 Nov 2018, 3:07:41 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88000
Run time1 days 3 hours 57 min 10 sec
CPU time1 days 3 hours 56 min 13 sec
Validate stateValid
Credit14,096.80
Device peak FLOPS3.82 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size528.55 MB
Peak swap size527.04 MB
Peak disk usage11.30 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6394.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6394_2_r1758030201_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6394.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6394
read normal distribution: '1 0 0'
generator_str: '422002422'
read generator: 422002422
read generated_by_map:
1 crossover 1
reading 93 nodes.
reading 376 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1603704160
post shuffle 1: 1591251100
epoch time: 1802.34680175781s, input_fired_time: 15.4487991333008, output_fired_time: 14.1917276382446, propagate_forward_time: 722.830627441406, propagate_backward_time: 1033.36694335938, weight_update_time: 1.65304315090179, other_time: 16.508544921875
epoch time: 148.374923706055s, input_fired_time: 1.95058417320251, output_fired_time: 0, propagate_forward_time: 143.595352172852, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.82899475097656
validation[          , genome  6394] predictions:    5120/  10000 (51.20%), best:    5120/10000 (51.20%), error:     17686.18945, best error:     17686.18945 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1803.4276123047s, input_fired_time: 15.0348949432, output_fired_time: 14.1377143860, propagate_forward_time: 723.9097900391, propagate_backward_time: 1034.3793945313, weight_update_time: 1.6315882206, other_time: 15.9658203125
epoch time: 148.6416320801s, input_fired_time: 1.9118260145, output_fired_time: 0.0000000000, propagate_forward_time: 143.9734497070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7563629150
validation[          , genome  6394] predictions:    5332/  10000 (53.32%), best:    5332/10000 (53.32%), error:     15352.67969, best error:     15352.67969 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1830.7802734375s, input_fired_time: 15.0283002853, output_fired_time: 14.3977336884, propagate_forward_time: 737.8784790039, propagate_backward_time: 1047.4392089844, weight_update_time: 1.6430563927, other_time: 16.0366210938
epoch time: 151.4451599121s, input_fired_time: 1.9520702362, output_fired_time: 0.0000000000, propagate_forward_time: 146.7257537842, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7673339844
validation[          , genome  6394] predictions:    5176/  10000 (51.76%), best:    5332/10000 (53.32%), error:     15664.74316, best error:     15352.67969 on epoch:     1, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1836.9415283203s, input_fired_time: 15.1768407822, output_fired_time: 14.4861145020, propagate_forward_time: 740.3114624023, propagate_backward_time: 1050.3398437500, weight_update_time: 1.6628211737, other_time: 16.6271972656
epoch time: 151.3910522461s, input_fired_time: 1.9093688726, output_fired_time: 0.0000000000, propagate_forward_time: 146.6168975830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8647918701
validation[          , genome  6394] predictions:    5233/  10000 (52.33%), best:    5332/10000 (53.32%), error:     15488.89941, best error:     15352.67969 on epoch:     1, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1836.4456787109s, input_fired_time: 15.2961854935, output_fired_time: 14.4955720901, propagate_forward_time: 739.3250122070, propagate_backward_time: 1050.5819091797, weight_update_time: 1.6711322069, other_time: 16.7469482422
epoch time: 151.2829589844s, input_fired_time: 1.9485700130, output_fired_time: 0.0000000000, propagate_forward_time: 146.4760894775, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8583068848
validation[          , genome  6394] predictions:    4981/  10000 (49.81%), best:    5332/10000 (53.32%), error:     16479.25000, best error:     15352.67969 on epoch:     1, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1807.4700927734s, input_fired_time: 14.9991426468, output_fired_time: 14.2395992279, propagate_forward_time: 725.3378906250, propagate_backward_time: 1036.5798339844, weight_update_time: 1.6425533295, other_time: 16.3135986328
epoch time: 149.5783386230s, input_fired_time: 1.9578806162, output_fired_time: 0.0000000000, propagate_forward_time: 144.7205810547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8998718262
validation[          , genome  6394] predictions:    5222/  10000 (52.22%), best:    5332/10000 (53.32%), error:     15468.90723, best error:     15352.67969 on epoch:     1, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1803.5484619141s, input_fired_time: 15.0120143890, output_fired_time: 14.1961145401, propagate_forward_time: 723.9738159180, propagate_backward_time: 1034.1671142578, weight_update_time: 1.6415835619, other_time: 16.1993408203
epoch time: 148.4177551270s, input_fired_time: 1.9008784294, output_fired_time: 0.0000000000, propagate_forward_time: 143.7552032471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7616729736
validation[          , genome  6394] predictions:    5434/  10000 (54.34%), best:    5434/10000 (54.34%), error:     13896.80957, best error:     13896.80957 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1800.0333251953s, input_fired_time: 14.8621387482, output_fired_time: 14.1355867386, propagate_forward_time: 722.1369628906, propagate_backward_time: 1032.9553222656, weight_update_time: 1.6305758953, other_time: 15.9432373047
epoch time: 149.2258605957s, input_fired_time: 1.8869764805, output_fired_time: 0.0000000000, propagate_forward_time: 144.6211700439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7177124023
validation[          , genome  6394] predictions:    5600/  10000 (56.00%), best:    5600/10000 (56.00%), error:     13672.30664, best error:     13672.30664 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1797.9304199219s, input_fired_time: 14.9456262589, output_fired_time: 14.1434173584, propagate_forward_time: 720.7971191406, propagate_backward_time: 1031.9468994141, weight_update_time: 1.6349377632, other_time: 16.0972900391
epoch time: 149.2140045166s, input_fired_time: 1.8783943653, output_fired_time: 0.0000000000, propagate_forward_time: 144.6148986816, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7207183838
validation[          , genome  6394] predictions:    5521/  10000 (55.21%), best:    5600/10000 (56.00%), error:     13798.84570, best error:     13672.30664 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1805.2232666016s, input_fired_time: 14.9883289337, output_fired_time: 14.1688461304, propagate_forward_time: 724.7868041992, propagate_backward_time: 1035.2141113281, weight_update_time: 1.6366060972, other_time: 16.0651855469
epoch time: 150.1502990723s, input_fired_time: 1.9921643734, output_fired_time: 0.0000000000, propagate_forward_time: 145.2709808350, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8871612549
validation[          , genome  6394] predictions:    5680/  10000 (56.80%), best:    5600/10000 (56.00%), error:     13765.51172, best error:     13672.30664 on epoch:     7, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1804.6695556641s, input_fired_time: 15.0518169403, output_fired_time: 14.1503314972, propagate_forward_time: 724.2763061523, propagate_backward_time: 1034.9670410156, weight_update_time: 1.6408524513, other_time: 16.2241210938
epoch time: 149.2539520264s, input_fired_time: 1.9123911858, output_fired_time: 0.0000000000, propagate_forward_time: 144.5865478516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7550201416
validation[          , genome  6394] predictions:    5455/  10000 (54.55%), best:    5600/10000 (56.00%), error:     14186.28320, best error:     13672.30664 on epoch:     7, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1804.5490722656s, input_fired_time: 15.1210079193, output_fired_time: 14.1893148422, propagate_forward_time: 724.5194091797, propagate_backward_time: 1034.4614257813, weight_update_time: 1.6448665857, other_time: 16.2579345703
epoch time: 150.2555999756s, input_fired_time: 1.9674113989, output_fired_time: 0.0000000000, propagate_forward_time: 145.4260406494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8621520996
validation[          , genome  6394] predictions:    5528/  10000 (55.28%), best:    5600/10000 (56.00%), error:     14505.59961, best error:     13672.30664 on epoch:     7, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1801.5540771484s, input_fired_time: 14.9139013290, output_fired_time: 14.1543560028, propagate_forward_time: 722.7595214844, propagate_backward_time: 1033.8198242188, weight_update_time: 1.6294970512, other_time: 15.9064941406
epoch time: 148.4477081299s, input_fired_time: 1.9034600258, output_fired_time: 0.0000000000, propagate_forward_time: 143.8101806641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7340698242
validation[          , genome  6394] predictions:    5500/  10000 (55.00%), best:    5600/10000 (56.00%), error:     13933.28906, best error:     13672.30664 on epoch:     7, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1798.5323486328s, input_fired_time: 15.2201061249, output_fired_time: 14.1353511810, propagate_forward_time: 720.5802001953, propagate_backward_time: 1032.1193847656, weight_update_time: 1.6495983601, other_time: 16.4772949219
epoch time: 148.4205474854s, input_fired_time: 1.9159561396, output_fired_time: 0.0000000000, propagate_forward_time: 143.7898406982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7147521973
validation[          , genome  6394] predictions:    5530/  10000 (55.30%), best:    5600/10000 (56.00%), error:     13967.34375, best error:     13672.30664 on epoch:     7, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1801.6330566406s, input_fired_time: 14.9268398285, output_fired_time: 14.1496858597, propagate_forward_time: 723.2117309570, propagate_backward_time: 1033.4714355469, weight_update_time: 1.6286537647, other_time: 15.8732910156
epoch time: 148.3442993164s, input_fired_time: 1.9562287331, output_fired_time: 0.0000000000, propagate_forward_time: 143.5080413818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8800354004
validation[          , genome  6394] predictions:    5486/  10000 (54.86%), best:    5600/10000 (56.00%), error:     14684.12695, best error:     13672.30664 on epoch:     7, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1804.9642333984s, input_fired_time: 15.1306009293, output_fired_time: 14.1928386688, propagate_forward_time: 724.6411132813, propagate_backward_time: 1034.7590332031, weight_update_time: 1.6438648701, other_time: 16.2406005859
epoch time: 149.3945922852s, input_fired_time: 1.9007109404, output_fired_time: 0.0000000000, propagate_forward_time: 144.7230987549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7707824707
validation[          , genome  6394] predictions:    5698/  10000 (56.98%), best:    5698/10000 (56.98%), error:     13204.21191, best error:     13204.21191 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1801.5690917969s, input_fired_time: 14.8801031113, output_fired_time: 14.1196422577, propagate_forward_time: 722.8076782227, propagate_backward_time: 1033.9936523438, weight_update_time: 1.6230776310, other_time: 15.7680664063
epoch time: 148.7091217041s, input_fired_time: 1.9224944115, output_fired_time: 0.0000000000, propagate_forward_time: 144.0183258057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7682952881
validation[          , genome  6394] predictions:    5547/  10000 (55.47%), best:    5698/10000 (56.98%), error:     14076.78418, best error:     13204.21191 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1801.3144531250s, input_fired_time: 15.2714185715, output_fired_time: 14.1779670715, propagate_forward_time: 722.4932861328, propagate_backward_time: 1032.9232177734, weight_update_time: 1.6501878500, other_time: 16.4486083984
epoch time: 149.7817840576s, input_fired_time: 1.9201692343, output_fired_time: 0.0000000000, propagate_forward_time: 145.1458892822, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7157287598
validation[          , genome  6394] predictions:    5774/  10000 (57.74%), best:    5774/10000 (57.74%), error:     12681.04492, best error:     12681.04492 on epoch:    17, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1804.7944335938s, input_fired_time: 15.1990289688, output_fired_time: 14.1833209991, propagate_forward_time: 724.4176025391, propagate_backward_time: 1034.6789550781, weight_update_time: 1.6456651688, other_time: 16.3155517578
epoch time: 147.7352600098s, input_fired_time: 1.8673053980, output_fired_time: 0.0000000000, propagate_forward_time: 142.8081817627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0597686768
validation[          , genome  6394] predictions:    5751/  10000 (57.51%), best:    5774/10000 (57.74%), error:     13139.17676, best error:     12681.04492 on epoch:    17, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1797.7926025391s, input_fired_time: 15.0593929291, output_fired_time: 14.1253871918, propagate_forward_time: 720.5888671875, propagate_backward_time: 1031.8227539063, weight_update_time: 1.6348228455, other_time: 16.1961669922
epoch time: 149.0534057617s, input_fired_time: 1.9388675690, output_fired_time: 0.0000000000, propagate_forward_time: 144.3357696533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7787628174
validation[          , genome  6394] predictions:    5606/  10000 (56.06%), best:    5774/10000 (57.74%), error:     13320.56250, best error:     12681.04492 on epoch:    17, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1800.8293457031s, input_fired_time: 15.2984905243, output_fired_time: 14.1768875122, propagate_forward_time: 721.9948120117, propagate_backward_time: 1032.8366699219, weight_update_time: 1.6498947144, other_time: 16.5224609375
epoch time: 148.3933410645s, input_fired_time: 1.9228872061, output_fired_time: 0.0000000000, propagate_forward_time: 143.7277221680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7427368164
validation[          , genome  6394] predictions:    5726/  10000 (57.26%), best:    5774/10000 (57.74%), error:     13168.88770, best error:     12681.04492 on epoch:    17, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1806.3088378906s, input_fired_time: 15.0866136551, output_fired_time: 14.2002229691, propagate_forward_time: 725.5604248047, propagate_backward_time: 1035.4793701172, weight_update_time: 1.6336084604, other_time: 15.9821777344
epoch time: 152.6500396729s, input_fired_time: 1.8676048517, output_fired_time: 0.0000000000, propagate_forward_time: 148.0430297852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7394104004
validation[          , genome  6394] predictions:    5803/  10000 (58.03%), best:    5774/10000 (57.74%), error:     13172.66797, best error:     12681.04492 on epoch:    17, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6394.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6394_2_r1758030201_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.831469
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00404417
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000161767
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 22
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5774
read best_validation_error: 12681
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6394
read normal distribution: '1 0 0'
generator_str: '1296858772'
read generator: 1296858772
read generated_by_map:
1 crossover 1
reading 93 nodes.
reading 376 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
epoch time: 1803.98864746094s, input_fired_time: 15.1777105331421, output_fired_time: 14.1986999511719, propagate_forward_time: 723.550354003906, propagate_backward_time: 1034.73547363281, weight_update_time: 1.64164054393768, other_time: 16.3262939453125
epoch time: 149.461776733398s, input_fired_time: 1.91359615325928, output_fired_time: 0, propagate_forward_time: 144.813980102539, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.73420715332031
validation[          , genome  6394] predictions:    5726/  10000 (57.26%), best:    5774/10000 (57.74%), error:     13499.54980, best error:     12681.04492 on epoch:    17, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1817.0698242188s, input_fired_time: 15.3325624466, output_fired_time: 14.3216295242, propagate_forward_time: 729.7140502930, propagate_backward_time: 1041.0677490234, weight_update_time: 1.6555737257, other_time: 16.6339111328
epoch time: 148.8606567383s, input_fired_time: 1.9351507425, output_fired_time: 0.0000000000, propagate_forward_time: 144.1338348389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7916717529
validation[          , genome  6394] predictions:    5787/  10000 (57.87%), best:    5774/10000 (57.74%), error:     13135.42480, best error:     12681.04492 on epoch:    17, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1805.1988525391s, input_fired_time: 15.2256402969, output_fired_time: 14.1921224594, propagate_forward_time: 724.2640380859, propagate_backward_time: 1035.1254882813, weight_update_time: 1.6438984871, other_time: 16.3916015625
epoch time: 147.5601196289s, input_fired_time: 1.8685773611, output_fired_time: 0.0000000000, propagate_forward_time: 142.0102539063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6812896729
validation[          , genome  6394] predictions:    5828/  10000 (58.28%), best:    5774/10000 (57.74%), error:     13050.98633, best error:     12681.04492 on epoch:    17, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1809.2612304688s, input_fired_time: 15.2485504150, output_fired_time: 14.2151069641, propagate_forward_time: 726.1932373047, propagate_backward_time: 1037.2082519531, weight_update_time: 1.6442712545, other_time: 16.3961181641
epoch time: 150.3595581055s, input_fired_time: 1.9291808605, output_fired_time: 0.0000000000, propagate_forward_time: 145.6666870117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7636871338
validation[          , genome  6394] predictions:    5946/  10000 (59.46%), best:    5946/10000 (59.46%), error:     12678.77344, best error:     12678.77344 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1806.0643310547s, input_fired_time: 15.1840133667, output_fired_time: 14.1937131882, propagate_forward_time: 724.1122436523, propagate_backward_time: 1035.8983154297, weight_update_time: 1.6376391649, other_time: 16.6761474609
epoch time: 149.1502227783s, input_fired_time: 1.9739422798, output_fired_time: 0.0000000000, propagate_forward_time: 144.3279113770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8483734131
validation[          , genome  6394] predictions:    5855/  10000 (58.55%), best:    5946/10000 (59.46%), error:     12984.89355, best error:     12678.77344 on epoch:    25, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1797.8034667969s, input_fired_time: 15.0898256302, output_fired_time: 14.1490135193, propagate_forward_time: 719.8310546875, propagate_backward_time: 1031.9508056641, weight_update_time: 1.6286916733, other_time: 16.7827148438
epoch time: 149.9584655762s, input_fired_time: 1.9463245869, output_fired_time: 0.0000000000, propagate_forward_time: 145.1590118408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8531341553
validation[          , genome  6394] predictions:    5720/  10000 (57.20%), best:    5946/10000 (59.46%), error:     13778.59570, best error:     12678.77344 on epoch:    25, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1805.3978271484s, input_fired_time: 15.2070446014, output_fired_time: 14.2289438248, propagate_forward_time: 722.3864746094, propagate_backward_time: 1035.4384765625, weight_update_time: 1.6416175365, other_time: 18.1368408203
epoch time: 150.0090942383s, input_fired_time: 1.9573844671, output_fired_time: 0.0000000000, propagate_forward_time: 144.6957244873, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3559875488
validation[          , genome  6394] predictions:    5830/  10000 (58.30%), best:    5946/10000 (59.46%), error:     12965.32422, best error:     12678.77344 on epoch:    25, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1803.4947509766s, input_fired_time: 15.3085174561, output_fired_time: 14.2101335526, propagate_forward_time: 722.2793579102, propagate_backward_time: 1034.5029296875, weight_update_time: 1.6459829807, other_time: 17.1938476563
epoch time: 149.1001586914s, input_fired_time: 1.9639286995, output_fired_time: 0.0000000000, propagate_forward_time: 144.3306121826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8056182861
validation[          , genome  6394] predictions:    5832/  10000 (58.32%), best:    5946/10000 (59.46%), error:     13035.91113, best error:     12678.77344 on epoch:    25, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1807.5097656250s, input_fired_time: 15.3196172714, output_fired_time: 14.2090940475, propagate_forward_time: 724.5507202148, propagate_backward_time: 1037.0367431641, weight_update_time: 1.6423999071, other_time: 16.3936767578
epoch time: 148.7797393799s, input_fired_time: 1.9266859293, output_fired_time: 0.0000000000, propagate_forward_time: 143.8960876465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9569702148
validation[          , genome  6394] predictions:    5991/  10000 (59.91%), best:    5991/10000 (59.91%), error:     12300.52344, best error:     12300.52344 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1807.6723632813s, input_fired_time: 15.3826332092, output_fired_time: 14.2025241852, propagate_forward_time: 724.5792236328, propagate_backward_time: 1036.9648437500, weight_update_time: 1.6458444595, other_time: 16.5430908203
epoch time: 148.7960510254s, input_fired_time: 1.9446226358, output_fired_time: 0.0000000000, propagate_forward_time: 144.1303253174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7210998535
validation[          , genome  6394] predictions:    5926/  10000 (59.26%), best:    5991/10000 (59.91%), error:     12603.07520, best error:     12300.52344 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1798.4227294922s, input_fired_time: 15.3013429642, output_fired_time: 14.1712455750, propagate_forward_time: 719.5390625000, propagate_backward_time: 1031.8654785156, weight_update_time: 1.6467202902, other_time: 17.5455322266
epoch time: 148.5669250488s, input_fired_time: 1.9902619123, output_fired_time: 0.0000000000, propagate_forward_time: 143.3913879395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1852722168
validation[          , genome  6394] predictions:    6055/  10000 (60.55%), best:    6055/10000 (60.55%), error:     12184.44531, best error:     12184.44531 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1818.4089355469s, input_fired_time: 15.5177850723, output_fired_time: 14.2915229797, propagate_forward_time: 728.6359863281, propagate_backward_time: 1043.0205078125, weight_update_time: 1.6603664160, other_time: 16.9431152344
epoch time: 148.0165252686s, input_fired_time: 2.0012519360, output_fired_time: 0.0000000000, propagate_forward_time: 142.9217834473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0934906006
validation[          , genome  6394] predictions:    6003/  10000 (60.03%), best:    6055/10000 (60.55%), error:     12299.75879, best error:     12184.44531 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1815.3623046875s, input_fired_time: 15.4785852432, output_fired_time: 14.2341938019, propagate_forward_time: 728.6454467773, propagate_backward_time: 1040.0694580078, weight_update_time: 1.6537293196, other_time: 16.9344482422
epoch time: 147.3312225342s, input_fired_time: 1.9349700212, output_fired_time: 0.0000000000, propagate_forward_time: 142.1255950928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2706604004
validation[          , genome  6394] predictions:    5890/  10000 (58.90%), best:    6055/10000 (60.55%), error:     12673.21289, best error:     12184.44531 on epoch:    32, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1801.2453613281s, input_fired_time: 15.3571367264, output_fired_time: 14.2171382904, propagate_forward_time: 719.3542480469, propagate_backward_time: 1033.8098144531, weight_update_time: 1.6499478817, other_time: 18.5069580078
epoch time: 148.7599334717s, input_fired_time: 1.9791492224, output_fired_time: 0.0000000000, propagate_forward_time: 143.9253387451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8554382324
validation[          , genome  6394] predictions:    6026/  10000 (60.26%), best:    6055/10000 (60.55%), error:     12352.48242, best error:     12184.44531 on epoch:    32, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1793.7033691406s, input_fired_time: 15.3667097092, output_fired_time: 14.1700820923, propagate_forward_time: 716.4055175781, propagate_backward_time: 1029.3549804688, weight_update_time: 1.6476743221, other_time: 18.4061279297
epoch time: 149.3158874512s, input_fired_time: 1.9689401388, output_fired_time: 0.0000000000, propagate_forward_time: 144.5741119385, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7728424072
validation[          , genome  6394] predictions:    6032/  10000 (60.32%), best:    6055/10000 (60.55%), error:     12295.28613, best error:     12184.44531 on epoch:    32, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1794.9161376953s, input_fired_time: 15.3412780762, output_fired_time: 14.1718254089, propagate_forward_time: 717.2316894531, propagate_backward_time: 1030.2773437500, weight_update_time: 1.6444931030, other_time: 17.8939208984
epoch time: 147.9818572998s, input_fired_time: 1.9753954411, output_fired_time: 0.0000000000, propagate_forward_time: 142.6902618408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3161926270
validation[          , genome  6394] predictions:    6023/  10000 (60.23%), best:    6023/10000 (60.23%), error:     12127.82129, best error:     12127.82129 on epoch:    37, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1793.4215087891s, input_fired_time: 15.4949636459, output_fired_time: 14.1885128021, propagate_forward_time: 715.6442871094, propagate_backward_time: 1028.6475830078, weight_update_time: 1.6582080126, other_time: 19.4461669922
epoch time: 149.0924835205s, input_fired_time: 1.9708421230, output_fired_time: 0.0000000000, propagate_forward_time: 144.1085662842, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0130767822
validation[          , genome  6394] predictions:    6045/  10000 (60.45%), best:    6023/10000 (60.23%), error:     12188.93359, best error:     12127.82129 on epoch:    37, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1802.1478271484s, input_fired_time: 15.4408388138, output_fired_time: 14.2156295776, propagate_forward_time: 721.6213989258, propagate_backward_time: 1033.6651611328, weight_update_time: 1.6433347464, other_time: 17.2049560547
epoch time: 149.8283538818s, input_fired_time: 1.9434043169, output_fired_time: 0.0000000000, propagate_forward_time: 144.8875122070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9974365234
validation[          , genome  6394] predictions:    6095/  10000 (60.95%), best:    6023/10000 (60.23%), error:     12236.72363, best error:     12127.82129 on epoch:    37, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1798.9654541016s, input_fired_time: 15.3104829788, output_fired_time: 14.2116031647, propagate_forward_time: 718.4883422852, propagate_backward_time: 1033.1330566406, weight_update_time: 1.6412001848, other_time: 17.8220214844
epoch time: 149.6231384277s, input_fired_time: 2.0260548592, output_fired_time: 0.0000000000, propagate_forward_time: 144.7422637939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8548126221
validation[          , genome  6394] predictions:    5988/  10000 (59.88%), best:    6023/10000 (60.23%), error:     12156.92285, best error:     12127.82129 on epoch:    37, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1817.7526855469s, input_fired_time: 15.6821565628, output_fired_time: 14.2949991226, propagate_forward_time: 728.8682861328, propagate_backward_time: 1042.0247802734, weight_update_time: 1.6615041494, other_time: 16.8824462891
epoch time: 150.0789337158s, input_fired_time: 2.0602111816, output_fired_time: 0.0000000000, propagate_forward_time: 145.1355743408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8831481934
validation[          , genome  6394] predictions:    6068/  10000 (60.68%), best:    6023/10000 (60.23%), error:     12195.97168, best error:     12127.82129 on epoch:    37, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1797.8468017578s, input_fired_time: 15.5023584366, output_fired_time: 14.1875305176, propagate_forward_time: 719.4750976563, propagate_backward_time: 1030.9200439453, weight_update_time: 1.6484935284, other_time: 17.7618408203
epoch time: 148.3988189697s, input_fired_time: 2.0005283356, output_fired_time: 0.0000000000, propagate_forward_time: 143.1167297363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2815551758
validation[          , genome  6394] predictions:    6060/  10000 (60.60%), best:    6060/10000 (60.60%), error:     11971.03223, best error:     11971.03223 on epoch:    42, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1785.0323486328s, input_fired_time: 15.3073377609, output_fired_time: 14.1539878845, propagate_forward_time: 712.1731567383, propagate_backward_time: 1024.6844482422, weight_update_time: 1.6396085024, other_time: 18.7135009766
epoch time: 149.1396179199s, input_fired_time: 2.0027844906, output_fired_time: 0.0000000000, propagate_forward_time: 143.6535949707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4832458496
validation[          , genome  6394] predictions:    6015/  10000 (60.15%), best:    6060/10000 (60.60%), error:     12695.10938, best error:     11971.03223 on epoch:    42, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1799.1622314453s, input_fired_time: 15.2922840118, output_fired_time: 14.1910085678, propagate_forward_time: 718.7940063477, propagate_backward_time: 1032.9566650391, weight_update_time: 1.6385151148, other_time: 17.9283447266
epoch time: 148.8605346680s, input_fired_time: 2.0252659321, output_fired_time: 0.0000000000, propagate_forward_time: 143.5462951660, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2889709473
validation[          , genome  6394] predictions:    5957/  10000 (59.57%), best:    6060/10000 (60.60%), error:     12680.19336, best error:     11971.03223 on epoch:    42, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1804.6754150391s, input_fired_time: 15.4644107819, output_fired_time: 14.2213687897, propagate_forward_time: 722.3835449219, propagate_backward_time: 1034.9232177734, weight_update_time: 1.6446900368, other_time: 17.6829833984
epoch time: 146.1828308105s, input_fired_time: 1.9485176802, output_fired_time: 0.0000000000, propagate_forward_time: 140.4831695557, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7511444092
validation[          , genome  6394] predictions:    6115/  10000 (61.15%), best:    6115/10000 (61.15%), error:     11962.82227, best error:     11962.82227 on epoch:    45, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1796.3809814453s, input_fired_time: 15.5007314682, output_fired_time: 14.2101221085, propagate_forward_time: 718.3316040039, propagate_backward_time: 1029.8475341797, weight_update_time: 1.6477973461, other_time: 18.4910888672
epoch time: 147.6719818115s, input_fired_time: 1.9878828526, output_fired_time: 0.0000000000, propagate_forward_time: 142.4175262451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2665710449
validation[          , genome  6394] predictions:    6167/  10000 (61.67%), best:    6167/10000 (61.67%), error:     11702.03320, best error:     11702.03320 on epoch:    46, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1807.1617431641s, input_fired_time: 15.4110031128, output_fired_time: 14.2378387451, propagate_forward_time: 723.1503906250, propagate_backward_time: 1037.1323242188, weight_update_time: 1.6447800398, other_time: 17.2302246094
epoch time: 147.9913635254s, input_fired_time: 1.9803024530, output_fired_time: 0.0000000000, propagate_forward_time: 143.2976684570, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7133941650
validation[          , genome  6394] predictions:    6216/  10000 (62.16%), best:    6216/10000 (62.16%), error:     11654.82910, best error:     11654.82910 on epoch:    47, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1798.1843261719s, input_fired_time: 15.2944688797, output_fired_time: 14.1984043121, propagate_forward_time: 718.1057739258, propagate_backward_time: 1032.7590332031, weight_update_time: 1.6354913712, other_time: 17.8266601563
epoch time: 152.8992919922s, input_fired_time: 1.9669053555, output_fired_time: 0.0000000000, propagate_forward_time: 147.8968353271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0355529785
validation[          , genome  6394] predictions:    6208/  10000 (62.08%), best:    6216/10000 (62.16%), error:     11887.25391, best error:     11654.82910 on epoch:    47, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1813.8100585938s, input_fired_time: 15.3767671585, output_fired_time: 14.2840824127, propagate_forward_time: 726.1339111328, propagate_backward_time: 1040.6376953125, weight_update_time: 1.6415576935, other_time: 17.3776855469
epoch time: 151.6723632813s, input_fired_time: 1.9810831547, output_fired_time: 0.0000000000, propagate_forward_time: 146.8196868896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8715972900
validation[          , genome  6394] predictions:    6168/  10000 (61.68%), best:    6216/10000 (62.16%), error:     11882.25781, best error:     11654.82910 on epoch:    47, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1808.5605468750s, input_fired_time: 15.6238775253, output_fired_time: 14.2755537033, propagate_forward_time: 723.2166137695, propagate_backward_time: 1036.9473876953, weight_update_time: 1.6565051079, other_time: 18.4971923828
epoch time: 150.6215820313s, input_fired_time: 2.0218656063, output_fired_time: 0.0000000000, propagate_forward_time: 145.8790740967, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7206420898
validation[          , genome  6394] predictions:    6249/  10000 (62.49%), best:    6216/10000 (62.16%), error:     12058.09277, best error:     11654.82910 on epoch:    47, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 751.0266723633s, input_fired_time: 10.2320032120, output_fired_time: 0.0000000000, propagate_forward_time: 725.7728881836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.0217895508
best training[          , genome  6394] predictions:   38526/  50000 (77.05%), best:    6216/10000 (62.16%), error:     33605.92188, best error:     11654.82910 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 148.7387542725s, input_fired_time: 2.0213892460, output_fired_time: 0.0000000000, propagate_forward_time: 142.9528503418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7645111084
   testing[          , genome  6394] predictions:    6216/  10000 (62.16%), best:    6216/10000 (62.16%), error:     11654.82910, best error:     11654.82910 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
03:05:35 (2556): called boinc_finish(0)

</stderr_txt>
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